> Markdown version of [/jobs/ext/4509700-data-quality-analyst-nj](https://www.wearedevelopers.com/jobs/ext/4509700-data-quality-analyst-nj). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Data Quality Analyst - NJ

- **Company:** MUFG
- **Location:** Jersey City, NJ, United States (Remote available)
- **Salary:** $103,000.0 - $121,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Big Data, Customer Data Management, Data Validation, Data Governance, Data Structures, Data Visualization, Relational Databases, Document-Oriented Databases, Metadata, Power BI, Standard Sql, SQL Databases, Data Streaming, Tableau (Software), Technical Data Management Systems, Enterprise Data Management, Large Language Models, Generative AI, Information Technology, Collibra, Data Analytics, Data Management, Data Pipelines
- **Published:** November 1, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=3370faf4df83fec2

## About the Role

The position is well suited for someone with strong foundational data and analytical skills who wants to build broader experience across data quality, governance, metadata, lineage, analytics, enterprise data platforms, and emerging technologies., * Strong SQL and data analysis skills , including joins, aggregations, conditional logic, data validation, and analysis of complex datasets.

 * Strong foundational understanding of relational databases, data models, data types, keys and relationships, data pipelines, and upstream/downstream data flows .
 * Familiarity with data quality, metadata, lineage, data governance, and broader data management concepts .
 * Strong analytical and problem-solving skills, including the ability to investigate data issues and translate business requirements into technical logic.
 * Experience with data quality, data catalog, analytics, or data management platforms; Collibra or similar platform experience is beneficial but not required .
 * Experience with business intelligence and visualization tools such as Tableau or Power BI is helpful but not required.
 * Exposure to AI, Generative AI, or Large Language Models (LLMs) and their potential application to data and analytics use cases is helpful but not required.
 * Strong attention to detail and communication skills, with the ability to collaborate across business, data, and technology teams .
 * Intellectual curiosity and an interest in developing broad, modern data capabilities across analytics, governance, technology, and AI.

Education:
Bachelor's degree in Computer Science or a closely-related discipline, or an equivalent combination of formal education and experience
*

"Visa sponsorship/support is based on business needs. We do not anticipate providing visa sponsorship/support for this position."

## Description

The Data Quality Analyst will support a Data Domain's data governance and data quality activities, with a focus on translating business requirements into measurable, technical data quality controls. The role will design, develop, and test complex business data quality rules within the firm's enterprise Data Quality platform, leveraging SQL to analyze, validate, and monitor data., * Design, code, test, and maintain business data quality rules , including complex rules requiring SQL-based logic.

 * Analyze datasets using SQL to understand data structures, relationships, patterns, anomalies, and potential data quality issues.
 * Partner with business and technology stakeholders to translate business requirements into implementable data quality rules and controls.
 * Investigate data quality exceptions and support root-cause analysis, remediation, monitoring, and reporting .
 * Support broader domain governance activities, including metadata, lineage, data ownership, issue management, and governance deliverables .
 * Document data quality requirements, technical logic, results, and analysis to provide clear traceability and support ongoing monitoring.